📍 Job Overview

• Job Title: Equipment Health Monitoring Engineer (m/w/d) am Standort Friedrichshafen
• Company: Rolls-Royce
• Location: Friedrichshafen, Baden-Württemberg, Germany
• Job Type: Full-Time
• Category: DevOps, Web Infrastructure
• Date Posted: July 22, 2025
• Experience Level: Mid-Senior level (2-5 years)
• Remote Status: On-site

🚀 Role Summary

• Key Responsibilities: Timely trend detection using operational data analysis, solution development, preventive condition monitoring, expert support, and performance reporting for equipment health.
• Key Technologies: Data analysis, trend detection, preventive maintenance, communication, thermodynamics, control engineering, automation, and performance reporting.

📝 Enhancement Note: This role focuses on data-driven predictive maintenance and remote monitoring, requiring strong analytical skills and a background in electrical engineering or a related field.

💻 Primary Responsibilities

• Timely Trend Detection: Analyze operational data to identify trends and patterns, enabling proactive decision-making and early intervention.
• Solution Development: Work on developing solutions, including describing requirements for trend algorithms and digital applications, to address identified trends and issues.
• Preventive Condition Monitoring: Monitor engines, equipment, and systems remotely to anticipate and prevent failures, ensuring optimal performance and minimizing downtime.
• Expert Support: Provide technical guidance, training, and support to Equipment Health Engineers in sales and service centers, as well as distributors.
• Performance Reporting: Create performance reports for fleet customers, providing insights into equipment health and maintenance requirements.

📝 Enhancement Note: This role requires strong analytical skills, a proactive approach to problem-solving, and the ability to work collaboratively with various stakeholders to drive equipment health and performance improvements.

🎓 Skills & Qualifications

Education: A successful degree in Electrical Engineering, Control Engineering, or a related field, ideally with a focus on drive systems or automation development.

Experience: Proven experience in engine testing, practical engineering experience, and a strong background in data analysis and automation.

Required Skills:

• Data analysis and trend detection
• Preventive maintenance and remote monitoring
• Strong communication skills in German and English
• Knowledge of thermodynamics, control engineering, and automation
• Analytical skills and problem-solving abilities
• Methodologies for digital innovation and recognizing product potential

Preferred Skills:

• Experience with predictive maintenance systems and methods
• Familiarity with data mining and data-driven decision-making processes
• Knowledge of global methods and standards for equipment health management
• Experience working in a multinational or diverse team environment

📝 Enhancement Note: Candidates with a strong background in data analysis, automation, and a proven track record in predictive maintenance will be well-suited to this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Demonstrate strong analytical skills and data-driven decision-making through past projects.
• Showcase experience in predictive maintenance, remote monitoring, and data analysis.
• Highlight any relevant projects involving trend detection, algorithm development, or performance reporting.

Technical Documentation:

• Document code quality, commenting, and data analysis processes.
• Describe version control, deployment processes, and server configuration for relevant projects.
• Explain testing methodologies, performance metrics, and optimization techniques used in past projects.

📝 Enhancement Note: As this role focuses on data analysis and predictive maintenance, candidates should emphasize their analytical skills and data-driven approach in their portfolio and technical documentation.

💵 Compensation & Benefits

Salary Range: €50,000 - €70,000 per year (based on experience and qualifications)

Benefits:

• Health Insurance (BKK MTU)
• Fitness Program (EGYM Wellpass)
• Retirement Plan
• Disability Insurance
• Mobility Support (JobTicket and JobRad)
• Employee Discounts (Corporate Benefits Program)

Working Hours: Full-time, with flexible working hours to accommodate maintenance windows and project deadlines.

📝 Enhancement Note: The salary range is estimated based on market research for mid-senior level DevOps and web infrastructure roles in Friedrichshafen, Germany.

🎯 Team & Company Context

🏢 Company Culture

Industry: Rolls-Royce operates in the aerospace, defense, and energy sectors, with a focus on power systems and propulsion.

Company Size: Medium to large (approx. 50,000 employees worldwide)

Founded: 1884 (as Rolls-Royce Limited)

Team Structure:

• The Equipment Health Monitoring team is part of the TXCE (TotalCare & Customer Experience) division.
• The team consists of data analysts, engineers, and specialists focused on equipment health and predictive maintenance.
• The team works collaboratively with sales, service centers, distributors, and the Digital Solutions department.

Development Methodology:

• Agile methodologies for software development and project management.
• Regular code reviews, testing, and quality assurance processes.
• CI/CD pipelines and automated deployment for digital applications.

Company Website: https://www.rolls-royce.com/

📝 Enhancement Note: Rolls-Royce is a global company with a strong focus on innovation, technology, and customer satisfaction. The company values diversity and inclusion, fostering a collaborative and inclusive work environment.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level (2-5 years) - Equipment Health Monitoring Engineer

Reporting Structure: The role reports directly to the Equipment Health Monitoring Manager, with a matrixed reporting line to the Digital Solutions department for data-driven initiatives.

Technical Impact: The role has a significant impact on equipment health, performance, and maintenance, contributing to customer satisfaction and reducing downtime.

Growth Opportunities:

• Develop expertise in predictive maintenance, data analysis, and digital innovation.
• Progress to senior or management roles within the Equipment Health Monitoring team or the broader TXCE division.
• Expand knowledge and skills in emerging technologies, such as AI and machine learning, to drive equipment health and performance improvements.

📝 Enhancement Note: This role offers opportunities for professional growth and development in the field of predictive maintenance and data analysis, with potential career paths in management, digital innovation, or specialized technical roles.

🌐 Work Environment

Office Type: Modern, collaborative office space with state-of-the-art technology and tools.

Office Location(s): Friedrichshafen, Germany (with potential for remote work or hybrid arrangements)

Workspace Context:

• Collaborative workspace with opportunities for cross-functional team interaction and knowledge sharing.
• Access to multiple monitors, testing devices, and development tools for data analysis and software development.
• Flexible working hours and remote work options to accommodate project deadlines and maintenance windows.

Work Schedule: Full-time, with flexible working hours to accommodate maintenance windows, project deadlines, and customer needs.

📝 Enhancement Note: The work environment at Rolls-Royce is collaborative and inclusive, with a strong focus on innovation, technology, and customer satisfaction. The company offers flexible working arrangements to support work-life balance and employee well-being.

📄 Application & Technical Interview Process

Interview Process:

1. Online application review and initial screening.
2. Technical phone or video interview focusing on data analysis, predictive maintenance, and problem-solving skills.
3. On-site or virtual technical assessment, including data analysis exercises and case studies.
4. Final interview with the hiring manager and team members, focusing on cultural fit and long-term career goals.

Portfolio Review Tips:

• Highlight relevant projects involving data analysis, predictive maintenance, and remote monitoring.
• Emphasize analytical skills, data-driven decision-making, and problem-solving abilities.
• Showcase any projects involving algorithm development, performance reporting, or digital innovation.

Technical Challenge Preparation:

• Brush up on data analysis techniques, predictive maintenance methods, and remote monitoring tools.
• Practice problem-solving and analytical thinking exercises to prepare for technical assessments.
• Familiarize yourself with Rolls-Royce's products, services, and company culture to demonstrate a strong fit for the role.

ATS Keywords: Data analysis, predictive maintenance, remote monitoring, trend detection, algorithm development, performance reporting, communication, thermodynamics, control engineering, automation, analytical skills, problem-solving, digital innovation, customer satisfaction, equipment health, maintenance, downtime reduction.

📝 Enhancement Note: The interview process for this role focuses on assessing analytical skills, data-driven decision-making, and problem-solving abilities, as well as cultural fit and long-term career goals.

🛠 Technology Stack & Web Infrastructure

Data Analysis Tools:

• Excel, SQL, or other data analysis software (e.g., Python, R, Power BI)
• Statistical analysis and machine learning tools (e.g., SPSS, MATLAB, or open-source libraries like scikit-learn, TensorFlow)

Predictive Maintenance & Remote Monitoring Tools:

• Specialized software for predictive maintenance and remote monitoring (e.g., GE Digital's Predix, IBM's Maximo, or SAP's Leonardo)
• IoT and sensor data management platforms (e.g., AWS IoT, Microsoft Azure IoT Hub, or Google Cloud IoT)

Development & DevOps Tools:

• Version control systems (e.g., Git, SVN)
• CI/CD pipelines and automation tools (e.g., Jenkins, CircleCI, or GitLab CI/CD)
• Containerization and orchestration tools (e.g., Docker, Kubernetes)
• Cloud platforms (e.g., AWS, Microsoft Azure, or Google Cloud Platform)

📝 Enhancement Note: The technology stack for this role focuses on data analysis, predictive maintenance, and remote monitoring tools, with a strong emphasis on data-driven decision-making and digital innovation.

👥 Team Culture & Values

Rolls-Royce Values:

• Customer focus: Understanding and meeting customer needs and expectations.
• Innovation: Encouraging creativity, continuous improvement, and embracing change.
• Collaboration: Working together effectively and respectfully, valuing diversity, and fostering an inclusive culture.
• Integrity: Acting with honesty, fairness, and transparency in all aspects of work.
• Accountability: Taking responsibility for personal and team performance, and delivering on commitments.

Collaboration Style:

• Cross-functional teamwork with sales, service centers, distributors, and the Digital Solutions department.
• Regular knowledge sharing, technical mentoring, and continuous learning opportunities.
• Agile methodologies for software development and project management, with a focus on collaboration and iterative improvement.

📝 Enhancement Note: Rolls-Royce fosters a collaborative and inclusive work environment, with a strong focus on innovation, technology, and customer satisfaction. The company values diversity and encourages continuous learning and professional development.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• Developing and implementing predictive maintenance algorithms and remote monitoring systems.
• Analyzing and interpreting large datasets to identify trends and patterns.
• Integrating data from various sources and ensuring data quality and consistency.
• Collaborating with cross-functional teams to drive equipment health and performance improvements.

Learning & Development Opportunities:

• Expanding knowledge and skills in data analysis, predictive maintenance, and digital innovation.
• Attending industry conferences, workshops, and training sessions to stay up-to-date with emerging technologies and best practices.
• Obtaining relevant certifications or advanced degrees in data analysis, predictive maintenance, or a related field.
• Seeking mentorship and guidance from experienced professionals within the team or the broader organization.

📝 Enhancement Note: This role offers opportunities for professional growth and development in the field of predictive maintenance and data analysis, with potential challenges and growth opportunities in digital innovation, algorithm development, and remote monitoring.

💡 Interview Preparation

Technical Questions:

1. Describe your experience with data analysis and predictive maintenance, and how you have applied these skills in previous roles.
2. Walk us through a data analysis project you've worked on, explaining your approach, the tools you used, and the insights you gained.
3. How have you approached remote monitoring and predictive maintenance in your previous roles? Can you share an example of a successful implementation?
4. Explain your understanding of the Internet of Things (IoT) and how you have leveraged IoT data in your previous roles.

Company & Culture Questions:

1. Why are you interested in the Equipment Health Monitoring Engineer role at Rolls-Royce?
2. How do you see this role contributing to your long-term career goals, and how do you plan to grow within the organization?
3. Describe your experience working in a collaborative, cross-functional team environment, and how you have contributed to the success of your team and the broader organization.

Portfolio Presentation Strategy:

• Highlight relevant projects involving data analysis, predictive maintenance, and remote monitoring.
• Emphasize analytical skills, data-driven decision-making, and problem-solving abilities.
• Showcase any projects involving algorithm development, performance reporting, or digital innovation.
• Tailor your portfolio to demonstrate a strong fit for the role and the company's values and culture.

📝 Enhancement Note: The interview process for this role focuses on assessing analytical skills, data-driven decision-making, problem-solving abilities, and cultural fit. Candidates should emphasize their relevant experience, skills, and passion for predictive maintenance and data analysis.

📌 Application Steps

To apply for the Equipment Health Monitoring Engineer (m/w/d) am Standort Friedrichshafen position:

1. Submit your application through the application link provided.
2. Customize your resume and portfolio to highlight relevant data analysis, predictive maintenance, and remote monitoring projects.
3. Prepare for the technical interview by brushing up on your data analysis skills, predictive maintenance methodologies, and problem-solving abilities.
4. Research Rolls-Royce's products, services, and company culture to demonstrate a strong fit for the role and the organization's values.
5. Review the job description and company information provided in this enhanced job description to ensure a comprehensive understanding of the role and the application process.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.